Nauta, Meike

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI

Nauta, M., Trienes, J., Pathak, S., Nguyen, E., Peters, M., Schmitt, Y., Schlötterer, J., van Keulen, M., & Seifert, C. (2023) · ACM Computing Surveys

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

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Neural Prototype Trees for Interpretable Fine-grained Image Recognition

Nauta, M., van Bree, R., & Seifert, C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

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Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches

Borys, K., Schmitt, Y. A., Nauta, M., Seifert, C., Krämer, N., Friedrich, C. M., & Nensa, F. (2023) · European Journal of Radiology

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

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